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dc.contributor.author
Tympakianaki, Athina
dc.contributor.author
Spiliopoulou, Anastasia D.
dc.contributor.author
Kouvelas, Anastasios
dc.contributor.author
Papageorgiou, Markos
dc.date.accessioned
2019-02-08T12:56:34Z
dc.date.available
2018-07-25T05:54:40Z
dc.date.available
2019-02-08T12:52:14Z
dc.date.available
2019-02-08T12:56:34Z
dc.date.issued
2012
dc.identifier.issn
1877-0428
dc.identifier.other
10.1016/j.sbspro.2012.06.1130
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/278044
dc.identifier.doi
10.3929/ethz-b-000275924
dc.description.abstract
Work zones on motorways necessitate the drop of one or more lanes which may lead to significant reduction of traffic flow capacity and efficiency, traffic flow disruptions, congestion creation, and increased accident risk. Real-time traffic control by use of green-red traffic signals at the motorway mainstream is proposed in order to achieve safer merging of vehicles entering the work zone and, at the same time, maximize throughput and reduce travel delays. A particular issue addressed in this research is the investigation of the appropriate distance between the merge area and the traffic lights so as to lead, in combination with the employed real-time traffic control strategy, to the most efficient merging of vehicles. The control strategy applied for real-time signal operation is an ALINEA-like PI-type feedback regulator. In order to achieve maximum performance of the control strategy, some calibration of the regulator's parameters may be necessary. The calibration is first conducted manually, via a typical trial-and-error procedure. In an additional investigation, the recently proposed learning/adaptive algorithm AFT is employed in order to automatically fine-tune the regulator parameters. Experiments conducted with a microscopic simulator for a hypothetical work zone infrastructure, demonstrate the potential high benefits of the control scheme.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject
Work zone management
en_US
dc.subject
Feedback control
en_US
dc.subject
Merging traffic control
en_US
dc.subject
AFT
en_US
dc.subject
Regulator fine-tuning
en_US
dc.title
Real-time merging traffic control for throughput maximization at motorway work zones
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported
dc.date.published
2012-07-14
ethz.journal.title
Procedia-Social and Behavioral Sciences
ethz.journal.volume
48
en_US
ethz.pages.start
1545
en_US
ethz.pages.end
1556
en_US
ethz.size
12 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.publication.place
Amsterdam
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02610 - Inst. f. Verkehrspl. u. Transportsyst. / Inst. Transport Planning and Systems::08686 - Gruppe Strassenverkehrstechnik
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02100 - Dep. Architektur / Dep. of Architecture::02655 - Netzwerk Stadt und Landschaft D-ARCH
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02610 - Inst. f. Verkehrspl. u. Transportsyst. / Inst. Transport Planning and Systems::08686 - Gruppe Strassenverkehrstechnik
en_US
ethz.date.deposited
2018-07-16T09:57:29Z
ethz.source
FORM
ethz.eth
no
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2018-07-25T05:54:45Z
ethz.rosetta.lastUpdated
2019-02-08T12:56:40Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/276263
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/275924
ethz.COinS
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